Algorithms for energy saving

Susanne Albers

doi:10.1007/978-3-642-03456-5_12

Algorithms for energy saving

Susanne Albers

University of Freiburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Scopus citations

Abstract

Energy has become a scarce and expensive resource. There is a growing awareness in society that energy saving is a critical issue. This paper surveys algorithmic solutions to reduce energy consumption in computing environments. We focus on the system and device level. More specifically, we study power-down mechanisms as well as dynamic speed scaling techniques in modern microprocessors.

Original language	English
Title of host publication	Efficient Algorithms
Subtitle of host publication	Essays Dedicated to Kurt Mehlhorn on the Occasion of His 60th Birthday
Editors	Susanne Albers, Helmut Alt, Stefan Naher
Pages	173-186
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-642-03456-5_12
State	Published - 2009
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5760 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Approximation algorithms
Competitive analysis
Dynamic speed scaling
Power-down mechanisms
Probabilistic analysis
Scheduling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-03456-5_12

Cite this

Albers, S. (2009). Algorithms for energy saving. In S. Albers, H. Alt, & S. Naher (Eds.), Efficient Algorithms: Essays Dedicated to Kurt Mehlhorn on the Occasion of His 60th Birthday (pp. 173-186). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5760 LNCS). https://doi.org/10.1007/978-3-642-03456-5_12

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title = "Algorithms for energy saving",

abstract = "Energy has become a scarce and expensive resource. There is a growing awareness in society that energy saving is a critical issue. This paper surveys algorithmic solutions to reduce energy consumption in computing environments. We focus on the system and device level. More specifically, we study power-down mechanisms as well as dynamic speed scaling techniques in modern microprocessors.",

keywords = "Approximation algorithms, Competitive analysis, Dynamic speed scaling, Power-down mechanisms, Probabilistic analysis, Scheduling",

author = "Susanne Albers",

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Efficient Algorithms",

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Albers, S 2009, Algorithms for energy saving. in S Albers, H Alt & S Naher (eds), Efficient Algorithms: Essays Dedicated to Kurt Mehlhorn on the Occasion of His 60th Birthday. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5760 LNCS, pp. 173-186. https://doi.org/10.1007/978-3-642-03456-5_12

Algorithms for energy saving. / Albers, Susanne.
Efficient Algorithms: Essays Dedicated to Kurt Mehlhorn on the Occasion of His 60th Birthday. ed. / Susanne Albers; Helmut Alt; Stefan Naher. 2009. p. 173-186 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5760 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Energy has become a scarce and expensive resource. There is a growing awareness in society that energy saving is a critical issue. This paper surveys algorithmic solutions to reduce energy consumption in computing environments. We focus on the system and device level. More specifically, we study power-down mechanisms as well as dynamic speed scaling techniques in modern microprocessors.

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KW - Competitive analysis

KW - Dynamic speed scaling

KW - Power-down mechanisms

KW - Probabilistic analysis

KW - Scheduling

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DO - 10.1007/978-3-642-03456-5_12

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SN - 9783642034558

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Albers, Susanne

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Algorithms for energy saving

Abstract

Publication series

Keywords

UN SDGs

Access to Document

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